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HOW CAN JOURNALS HELP ENCOURAGE 
DATA SHARING? 
Varsha Khodiyar 
Data Publishing Manager, F1000Research 
Share and Flourish workshop 
Leiden, August 2014
BIG DATA
BIG DATA
SMALL DATASETS (THE LONG-TAIL OF SCIENCE) 
http://robertanagourney.wordpress.com/2014/07/0 
9/with-cancer-dont-ask-the-experts/ 
• Number of samples/patients? 
• Statistical power? 
• Supports prevailing 
hypothesis?
RESEARCH BECOMES HARDER TO ACCESS WITH AGE 
“• We examined the availability of data 
from 516 studies between 2 and 22 
years old 
• The odds of a data set being reported 
as extant fell by 17% per year 
• Broken e-mails and obsolete storage devices were the main obstacles 
to data sharing 
• Policies mandating data archiving at publication are clearly needed” 
Vines TH. et al. The availability of research data declines rapidly with 
article age. Curr Biol 24, 94–7 (2014)
OPEN AND POST-PUBLICATION PEER REVIEW 
@vkf1000 | @f1000research 
• Approved 
• Approved with reservations 
• Not approved
REFEREE REPORTS ARE PUBLIC 
All referee names are visible. 
Articles with sufficient positive evaluations 
indexed in PubMed, Scopus and Embase. 
or 
Referee reports and 
other comments are 
visible to everyone.
PUBLICATION OF ALL GOOD SCIENCE
DATA PAPERS
As a field we have the opportunity to compete or 
collaborate. I hope that these data facilitate cross-laboratory 
collaboration where two groups are 
reticent to share their own data…I applaud the 
authors for this unprecedented act of scientific 
altruism. I hope this will be a platform that 
accelerates our understanding of the entorhinal-hippocampal 
circuitry through collaboration.
YOU'RE JUST SALAMI SLICING TO CREATE MORE PAPERS...
WHERE’S THE SPACE FOR DATA, METHODS AND AUTHORS?
DATA AND METHODS ARE REQUIRED TO ALLOW REPLICATION 
“[W]e evaluated the replication of data analyses in 18 articles 
on microarray-based gene expression profiling published in 
Nature Genetics in 2005–2006...We reproduced two analyses 
in principle and six partially or with some discrepancies; ten 
could not be reproduced. The main reason for failure to 
reproduce was data unavailability.” 
Ioannidis JPA. et al. Repeatability of 
published microarray gene expression 
analyses. 
Nature Genetics 41, 149–55 (2009)
DO DATA PRODUCERS NEED ADDITIONAL CREDIT? 
Traditional research paper by 
ISS, MSD and JWH 
Author contributions 
ISS and JWH designed the experiments. ISS with help 
from MSD carried out the experiments. ISS and JWH 
prepared the manuscript. All authors approved the 
final content of the manuscript.
DATA FULLY INTEGRATED WITH RESEARCH PAPERS
DATA PLOTTING TOOL
DYNAMIC FIGURES
SOFTWARE IS IMPORTANT TOO 
Archive published source 
code with a DOI 
Update article after it 
has passed peer review 
e.g. with release of 
version of software 
Data and Software 
availability section 
Request the inclusion of 
source code for 
software developed for 
the project and required 
to analyse/view the data 
or replicate the work
SOFTWARE AVAILABILITY SECTION
HOW CAN JOURNALS HELP ENCOURAGE 
DATA SHARING? 
Email: varsha.khodiyar@f1000.com 
Twitter: @vkf1000 / @f1000research
Share & Flourish workshop, Leiden, August 2014

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Share & Flourish workshop, Leiden, August 2014

  • 1. HOW CAN JOURNALS HELP ENCOURAGE DATA SHARING? Varsha Khodiyar Data Publishing Manager, F1000Research Share and Flourish workshop Leiden, August 2014
  • 4. SMALL DATASETS (THE LONG-TAIL OF SCIENCE) http://robertanagourney.wordpress.com/2014/07/0 9/with-cancer-dont-ask-the-experts/ • Number of samples/patients? • Statistical power? • Supports prevailing hypothesis?
  • 5. RESEARCH BECOMES HARDER TO ACCESS WITH AGE “• We examined the availability of data from 516 studies between 2 and 22 years old • The odds of a data set being reported as extant fell by 17% per year • Broken e-mails and obsolete storage devices were the main obstacles to data sharing • Policies mandating data archiving at publication are clearly needed” Vines TH. et al. The availability of research data declines rapidly with article age. Curr Biol 24, 94–7 (2014)
  • 6.
  • 7. OPEN AND POST-PUBLICATION PEER REVIEW @vkf1000 | @f1000research • Approved • Approved with reservations • Not approved
  • 8. REFEREE REPORTS ARE PUBLIC All referee names are visible. Articles with sufficient positive evaluations indexed in PubMed, Scopus and Embase. or Referee reports and other comments are visible to everyone.
  • 9. PUBLICATION OF ALL GOOD SCIENCE
  • 11. As a field we have the opportunity to compete or collaborate. I hope that these data facilitate cross-laboratory collaboration where two groups are reticent to share their own data…I applaud the authors for this unprecedented act of scientific altruism. I hope this will be a platform that accelerates our understanding of the entorhinal-hippocampal circuitry through collaboration.
  • 12. YOU'RE JUST SALAMI SLICING TO CREATE MORE PAPERS...
  • 13. WHERE’S THE SPACE FOR DATA, METHODS AND AUTHORS?
  • 14. DATA AND METHODS ARE REQUIRED TO ALLOW REPLICATION “[W]e evaluated the replication of data analyses in 18 articles on microarray-based gene expression profiling published in Nature Genetics in 2005–2006...We reproduced two analyses in principle and six partially or with some discrepancies; ten could not be reproduced. The main reason for failure to reproduce was data unavailability.” Ioannidis JPA. et al. Repeatability of published microarray gene expression analyses. Nature Genetics 41, 149–55 (2009)
  • 15. DO DATA PRODUCERS NEED ADDITIONAL CREDIT? Traditional research paper by ISS, MSD and JWH Author contributions ISS and JWH designed the experiments. ISS with help from MSD carried out the experiments. ISS and JWH prepared the manuscript. All authors approved the final content of the manuscript.
  • 16. DATA FULLY INTEGRATED WITH RESEARCH PAPERS
  • 19. SOFTWARE IS IMPORTANT TOO Archive published source code with a DOI Update article after it has passed peer review e.g. with release of version of software Data and Software availability section Request the inclusion of source code for software developed for the project and required to analyse/view the data or replicate the work
  • 21. HOW CAN JOURNALS HELP ENCOURAGE DATA SHARING? Email: varsha.khodiyar@f1000.com Twitter: @vkf1000 / @f1000research

Notas do Editor

  1. Large scale datasets e.g. Human genome project Data more likely to be shared due to collaborative nature of data producing phase Lots of data produced
  2. Data shared through centrally funded database, e.g. GenBank for gene sequences. Journals enforce use of these databases for publications with gene sequences.
  3. F1000Research is making it possible to get a paper online within days, using post-publication peer review. F1000Research articles are published online after an in-house pre-refereeing check, on average, within 6 working days. Peer review and revisions are carried out publicly. Articles with sufficient positive referee reports are indexed.
  4. Referee reports on all papers are visible to anyone reading the article, and include the referee name. Author responses and any additional comments are visible as well.
  5. A dataset (or set of datasets) together with the associated methods/protocol used to create the data. No analysis of the data, results or conclusions should be included.
  6. Limited space in traditional full paper for detailed methods, data and author credit for data producers
  7. MSD essential for these set of expts, ie to generate this data In a data paper MSD would be first author as they have the knowledge and skill to generate that dataset Journals such as F1000Research are working to make it easier for researchers to share and use published data
  8. All papers have underlying data freely accessible as a condition of publication